{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2Y5CKNF6TJ7G4FZZMSCUZ4B5RC","short_pith_number":"pith:2Y5CKNF6","canonical_record":{"source":{"id":"2410.10744","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-14T17:22:12Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"8addd34a741629704afae2bb2ca6aff00a91d678a8f68d85731277fe3a3edff9","abstract_canon_sha256":"08f4813feeabab59a77913883aafd9bdf2b9540812d2f628a5a235568eee2ecd"},"schema_version":"1.0"},"canonical_sha256":"d63a2534be9a7e6e173964854cf03d88ab056501511becf9572fda27c08b67db","source":{"kind":"arxiv","id":"2410.10744","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10744","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10744v2","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10744","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"pith_short_12","alias_value":"2Y5CKNF6TJ7G","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"pith_short_16","alias_value":"2Y5CKNF6TJ7G4FZZ","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"pith_short_8","alias_value":"2Y5CKNF6","created_at":"2026-07-05T10:51:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2Y5CKNF6TJ7G4FZZMSCUZ4B5RC","target":"record","payload":{"canonical_record":{"source":{"id":"2410.10744","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-14T17:22:12Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"8addd34a741629704afae2bb2ca6aff00a91d678a8f68d85731277fe3a3edff9","abstract_canon_sha256":"08f4813feeabab59a77913883aafd9bdf2b9540812d2f628a5a235568eee2ecd"},"schema_version":"1.0"},"canonical_sha256":"d63a2534be9a7e6e173964854cf03d88ab056501511becf9572fda27c08b67db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:26.414471Z","signature_b64":"tPMWi9GJF+GMf5GGMLHH8OQsTt+2rNj5AInA7z5p/WzIIMhMkU8efPOq+no9eB43dYMMRySpjYbpER7Ixc0aDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d63a2534be9a7e6e173964854cf03d88ab056501511becf9572fda27c08b67db","last_reissued_at":"2026-07-05T10:51:26.413958Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:26.413958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.10744","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:51:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dMfQBjDKLAICswxpdSVFqO1Lgtr1PqV4TykCLslKdstB/XC3/6Vw3Em4hm6I2boFH+v2OkLcFVKjPv+9NR9kDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:10:25.667940Z"},"content_sha256":"a77073485db3ad072c942b540117327e0ceffe927165ab7ded2e04ad31149dbf","schema_version":"1.0","event_id":"sha256:a77073485db3ad072c942b540117327e0ceffe927165ab7ded2e04ad31149dbf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2Y5CKNF6TJ7G4FZZMSCUZ4B5RC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Hossein Mirzaei, Mackenzie W. Mathis","submitted_at":"2024-10-14T17:22:12Z","abstract_excerpt":"Despite significant advancements in out-of-distribution (OOD) detection, existing methods still struggle to maintain robustness against adversarial attacks, compromising their reliability in critical real-world applications. Previous studies have attempted to address this challenge by exposing detectors to auxiliary OOD datasets alongside adversarial training. However, the increased data complexity inherent in adversarial training, and the myriad of ways that OOD samples can arise during testing, often prevent these approaches from establishing robust decision boundaries. To address these limi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10744","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.10744/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:51:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"28m9c1N3DYCnYqVEGzo/mEFYwpfH25BvegM9zzRFD+uky0ylxubIK2qj1HGuo9jzQTYYtJObdRGlrlh2ZEy1Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:10:25.668524Z"},"content_sha256":"597e731aaf0554546a6b352ee3e0710e548d401c957129d71570ccaa43d03f8f","schema_version":"1.0","event_id":"sha256:597e731aaf0554546a6b352ee3e0710e548d401c957129d71570ccaa43d03f8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC/bundle.json","state_url":"https://pith.science/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T11:10:25Z","links":{"resolver":"https://pith.science/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC","bundle":"https://pith.science/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC/bundle.json","state":"https://pith.science/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2Y5CKNF6TJ7G4FZZMSCUZ4B5RC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2Y5CKNF6TJ7G4FZZMSCUZ4B5RC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"08f4813feeabab59a77913883aafd9bdf2b9540812d2f628a5a235568eee2ecd","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-14T17:22:12Z","title_canon_sha256":"8addd34a741629704afae2bb2ca6aff00a91d678a8f68d85731277fe3a3edff9"},"schema_version":"1.0","source":{"id":"2410.10744","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10744","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10744v2","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10744","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"pith_short_12","alias_value":"2Y5CKNF6TJ7G","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"pith_short_16","alias_value":"2Y5CKNF6TJ7G4FZZ","created_at":"2026-07-05T10:51:26Z"},{"alias_kind":"pith_short_8","alias_value":"2Y5CKNF6","created_at":"2026-07-05T10:51:26Z"}],"graph_snapshots":[{"event_id":"sha256:597e731aaf0554546a6b352ee3e0710e548d401c957129d71570ccaa43d03f8f","target":"graph","created_at":"2026-07-05T10:51:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.10744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite significant advancements in out-of-distribution (OOD) detection, existing methods still struggle to maintain robustness against adversarial attacks, compromising their reliability in critical real-world applications. Previous studies have attempted to address this challenge by exposing detectors to auxiliary OOD datasets alongside adversarial training. However, the increased data complexity inherent in adversarial training, and the myriad of ways that OOD samples can arise during testing, often prevent these approaches from establishing robust decision boundaries. To address these limi","authors_text":"Hossein Mirzaei, Mackenzie W. Mathis","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-14T17:22:12Z","title":"Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10744","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a77073485db3ad072c942b540117327e0ceffe927165ab7ded2e04ad31149dbf","target":"record","created_at":"2026-07-05T10:51:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"08f4813feeabab59a77913883aafd9bdf2b9540812d2f628a5a235568eee2ecd","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-14T17:22:12Z","title_canon_sha256":"8addd34a741629704afae2bb2ca6aff00a91d678a8f68d85731277fe3a3edff9"},"schema_version":"1.0","source":{"id":"2410.10744","kind":"arxiv","version":2}},"canonical_sha256":"d63a2534be9a7e6e173964854cf03d88ab056501511becf9572fda27c08b67db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d63a2534be9a7e6e173964854cf03d88ab056501511becf9572fda27c08b67db","first_computed_at":"2026-07-05T10:51:26.413958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:26.413958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tPMWi9GJF+GMf5GGMLHH8OQsTt+2rNj5AInA7z5p/WzIIMhMkU8efPOq+no9eB43dYMMRySpjYbpER7Ixc0aDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:26.414471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.10744","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a77073485db3ad072c942b540117327e0ceffe927165ab7ded2e04ad31149dbf","sha256:597e731aaf0554546a6b352ee3e0710e548d401c957129d71570ccaa43d03f8f"],"state_sha256":"a0a7ed6d1373f7fb17db072a15a405c44e5a0e035fcaf4c8bac23df6d2fc3f48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m58cJqTp9JqWDl93+jza0ZAtceGwWNLX8nOBJXurNb/kKslP1GZ6BPIem8984Lw8tzvC8x5MMqWk98ida3TbCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:10:25.672989Z","bundle_sha256":"e498ae108cf48de0371b97f323200c73567c6ab6064244f393d912efe2fb19e1"}}